Infrastructure & Platform Engineer Jobs in London, UK

Looking for an infrastructure & platform engineer job in London? Choose from 41 open roles at 22 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

41 Open roles
22 Companies hiring
209K Average salary

What do Infrastructure and platform engineers in London work on?

The roles on this page span several distinct areas of infrastructure work. At the compute and hardware end, titles such as Infrastructure Engineer (GPU & Compute) and Senior Cloud Infrastructure Engineer focus on provisioning, managing, and scaling compute resources, often with GPU workloads in mind. At the software and platform end, roles like Infrastructure Software Engineer, Apps Platform at Scale AI involve building deployment and observability tooling across multiple cloud providers, using Kubernetes, Terraform, and CI/CD pipelines. ML-adjacent infrastructure appears in postings such as ML Data & Platform Engineer at Speechmatics, where the work covers data ingestion, training pipelines, and production serving. Scale AI's AI Infrastructure Engineer, Serving Platform focuses on fault-tolerant LLM serving and architecture reviews. Writer's Infrastructure Engineer requires that AI coding tools already be part of day-to-day work. Validation and systems engineering also appear, as in Wayve's Staff Validation Systems Engineer, which sits closer to automotive and ADAS domains. Incident response, cross-team collaboration, and end-to-end project ownership appear repeatedly across the summaries.

Skills and experience employers ask for

Skills counts reflect how often a term appears in posting descriptions across these thirty-nine roles, not that every posting lists it as a requirement. Python and Kubernetes appear in more than half the postings, making them the most consistently mentioned. AWS, Terraform, and C++ appear in roughly a quarter to a third. GPU, API, and evaluation-related mentions are notable given the AI focus. Docker, GCP, Java, and CI/CD appear in a smaller share. The sample is too small to treat any count as a market-wide signal.

Python 59%
Kubernetes 56%
APIs 37%
AWS 32%
C\+\+ 29%
Evaluation 24%
GPUs 24%
Terraform 24%
Agents 22%
LLMs 20%
Docker 17%
GCP 17%
Java 17%
CI/CD 17%

Infrastructure & Platform Engineer roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

London office, hybrid or remote?

None of the postings on this page are listed as fully remote. Around a third state hybrid working, with most of the remainder listed as onsite. The Writer posting notes London or New York as possible base locations under a hybrid arrangement, which is an unusual dual-city framing. No posting specifies the number of days in-office for hybrid roles. Where a posting shows only a company name and London location without a work-mode label, the arrangement is unknown and candidates should confirm directly with the employer.

Make your application specific to the work

  1. Check the work mode first Most postings on this page are onsite, so confirm the in-office expectation before applying, particularly if you need flexibility. Hybrid terms are not detailed in the descriptions.
  2. Match your infrastructure specialism These roles divide broadly into cloud platform work, compute and GPU infrastructure, and ML pipeline or serving infrastructure. Identify which area your experience fits before tailoring your application.
  3. Review stated seniority and years of experience Several postings mention five or more years of infrastructure experience as a threshold. Where seniority is not labelled in a title, read the summary carefully, as staff and principal expectations appear in descriptions rather than job titles.
  4. Clarify pay if not advertised Only a small number of postings on this page include a salary range. For the majority, compensation is not stated, so it is worth raising this early in any screening conversation.

Questions about Infrastructure & Platform Engineer jobs in London

No. Every posting on this page is listed as either onsite or hybrid. There are no fully remote listings in this set.

Only a minority of postings include advertised pay. The ranges shown are: Sierra's Deployed Infrastructure Engineer roles at 190,000โ€“285,000, OpenAI's Software Engineer ChatGPT Infrastructure at 194,000โ€“280,000, and Volta's Platform Engineer at 110,000โ€“140,000. Currency and whether figures are USD or GBP is not stated in the fact pack, so candidates should confirm with each employer. The majority of postings do not advertise a salary.

Palantir has the highest count among named employers, followed by Graphcore, Lightning AI, Anthropic, Scale AI, and OpenAI, each with multiple postings. Jane Street and Sierra also appear more than once. These counts reflect only what is on this page and do not indicate relative hiring activity across the market.

Python and Kubernetes are the most frequently mentioned skills in posting descriptions across these roles, appearing in more than half the listings. That said, each posting has its own specific requirements, and not every role lists both. Skills counts here reflect mentions in descriptions, not universal requirements.

There is one posting labelled as an internship and one at junior level in this set. The majority of postings do not specify a seniority band in the title, while a meaningful share are labelled senior or lead. Candidates earlier in their career should read individual posting descriptions carefully, as stated experience thresholds vary.

Jobs checked 9 hours ago. ยท Guide reviewed 9 September 2026.